Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract This paper studies the hypothesis of an inverted-U-shaped relationship between spatial inequality and economic development. The theory of Kuznets (1955) and Williamson (1965) suggests that (spatial) inequality first increases in the process of development, then peaks, and then decreases. To test this hypothesis I have used a unique panel data set of spatial inequalities in 55 countries at different stages of economic development, covering the period 1980-2009. Parametric and semiparametric regressions are carried out using cross-section and (unbalanced) panel data. The results provide strong support for the existence of an inverted U, but importantly I also find spatial inequalities to increase again at very high levels of economic development. Although many factors may be contributing to this rise, one explanation rests on the process of tertiarization, i.e., the structural shift from industrial production towards a service base in the highest-developed economies. Terms of use: Documents inJEL-Code: D310, R100, O150.

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. This paper provides a new data set of regional income inequalities within countries based on satellite nighttime light data. We first empirically study the relationship between luminosity data and regional incomes for those countries where regional income data are available. We subsequently use our estimation results for an out-ofsample prediction of regional incomes based on the luminosity data, which allows us to investigate regional income differentials in developing countries as well, where official income data are lacking. Based on the predicted incomes, we calculate commonly used measures of regional inequality within countries. Investigating changes in the dispersion of regional incomes over time reveals that approximately 71-80% of all countries face sigma-convergence. Finally, we study different major determinants of the level of regional inequality based on cross-section data. Panel regressions investigate the within-country changes in inequality, i.e., the determinants of the convergence process. We find evidence for an N-shaped relationship between development and regional inequality. Geography, mobility and trade openness are also highly important. Terms of use: Documents inJEL-Code: D300, E010, E230, O110, O150, O570, R100.

This paper analyzes the impact of political and fi scal decentralization on regional inequalities, using a unique dataset which covers fi fty-four countries at diff erent stages of economic development. Cross-section and panel data estimations show that decentralization decreases regional inequalities in general. However, estimations using an interactionvariable approach imply that the eff ect depends on the level of economic development. While rich countries benefi t from decentralization in that they achieve a more equal regional income distribution, decentralization may lead to higher regional inequalities in developing and emerging economies. The results point in the same direction for measures of fi scal and political decentralization, implying that autonomy in both decision making and fi scal authority are decisive in this context. Thus, when fostering decentralization in developing countries as proposed by international development agencies, the potential negative redistributional consequences should be taken into account.

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The majority of theoretical and empirical studies on the relationship between decentralization and corruption argues that the devolution of power might be a feasible instrument to keep corruption at bay. We argue that this result crucially depends on the effectiveness of monitoring bureaucrat's behavior. The benefits of interjurisdictional competition only occur if there is a supervisory body such as a free press, which is often lacking in less-developed countries. Using cross-country data, we analyze the relationship between decentralization and corruption taking different degrees of the freedom of the press into account. Our main finding is that decentralization counteracts corruption in countries with high degrees of press freedom, whereas countries without effective monitoring suffer from decentralization. Our policy implication is that a free press is a necessary pre-condition for successful decentralization programs. Terms of use: Documents inJEL Code: D73, H77, O23.